A deep neural network for non-orthogonal input channel encoding is proposed to recover speckle images through a multimode fiber. This novel approach could shed new light on the non-orthogonal optical ...

As deep neural networks revolutionize machine learning, energy consumption and throughput are emerging as fundamental limitations of complementary metal–oxide–semiconductor (CMOS) electronics. This ...

Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they ...

Blurry light from lens imperfections is a problem everywhere, from microscopes to telescopes to smartphone cameras. Using a ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

Artistic rendering of noncollinear sum-frequency generation (SFG): two infrared pulses mix in a χ² crystal to produce three output pulses (green), with the central SFG pulse being the primary output ...

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Fiber-optic technology revolutionized the telecommunications industry and may soon do the same for brain research. A group of researchers from Washington University in St. Louis in both the McKelvey ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

AI-powered tiny optical device corrects distorted light in a single image, enabling sharper imaging for microscopy, astronomy ...